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Hybrid (Austin, United States)
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Senior · 6+ years exp
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Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $167,150 - $237,000+ 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google office & may allow for a hybrid schedule per Google policy.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

  • Design, build, and deploy internal business applications and systems to support technology lifecycle, collaboration, and service delivery management.
  • Integrate third-party products into internal systems and evaluate vendor-supplied applications to enable enterprise business solutions.
  • Build custom internal solutions, tooling, and automation with front-end and back-end services to automate business processes.
  • Collaborate with analysts and business process owners to translate business requirements and user needs into technical solutions and specifications.
  • Develop processes and solutions to ensure controls compliance is enforced and monitored while improving application and system reliability. Write clear, modular, and well-structured code and oversee application testing to ensure it meets all specifications.

Qualifications

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related field and 8 years of progressive, post-baccalaureate, experience in the job offered or in a Application Engineer-related occupation.
  • Alternatively, will accept a Master’s degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related field and 6 years of experience in the job offered or in a Application Engineer-related occupation.
  • Position requires 6 years of experience in the following: Writing readable, structured code in at least one programming language using best practices like code reviews and automated testing; Designing software system architecture, components, modules, interfaces, and data models; Enterprise architecture development for business process automation and management; Debugging system issues in program code and software applications through root cause analysis; and Management of the end-to-end software development lifecycle (SDLC) from concept to deployment and maintenance
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